The Importance of an AI Center of Excellence
An Artificial Intelligence Center of Excellence (AI CoE) is critical for organizations seeking to move beyond isolated experimentation and toward … Read More
2025 Year in Review: From AI Tools to Agentic Systems
Looking back in 2025, my blog content on the Knowledge Management Depot, I believe represents a cohesive, forward‑leaning body of … Read More
Leveraging AI-Driven Data and Knowledge for Competitive Advantage in a Digital Economy
It was a pleasure to attend the 20th International Conference on Knowledge Management (ICKM) as part of the combined GFIC-CIKI-ICKM… Read More
Bridging the AI Leadership Gap: Why Boards Must Lead, Not Follow, in the Age of Intelligent Systems
Artificial Intelligence is not a technology story anymore; it’s a leadership story. The real question confronting every boardroom today isn’t … Read More
RHEMINISCING A New AI Podcast
RHEMINSCING with Dr. Tony Rhem, Artificial Intelligence Past, Present, and the Possible!
This podcast will launch November 4th of 2025.… Read More
The Importance of Data Curation and Preparation for AI Solutions
Data curation and preparation are foundational steps in the lifecycle of any AI solution. These processes ensure that the raw … Read More
In print:
Essential Topics in Artificial Intelligence AI evolved from expert systems to today’s machine learning and generative models; covers ethics, LLMs, AGI, and NLP basics.
Essential Topics in Information Architecture Information Architecture (IA) details important areas of interest in the principles and practice of implementing information architecture.
Knowledge Management in Law Firms is a collection of insights on managing knowledge in a law firm, from Knowledge Management professionals around the globe. KM in Law Firms is produced in association with the International Bar Association.
Knowledge Management Matters brings together the expertise of the world's thought leaders of KM, who share tips, tactics, and techniques.
Knowledge Management in Practice gives detailed information on applying knowledge management (KM) practices, procedures and techniques to solve real world problems.
UML for Developing Knowledge Management Systems provides knowledge engineers the framework in which to identify types of knowledge and where this knowledge exists in an organization.
It also shows ways in which to use a standard recognized notation to capture, or model, knowledge to be used in a knowledge management system (KMS).
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